OverviewIn this Data Engineer role within R&D; Operations, you transform telemetry, logs and operational data from millions of connected devices into actionable insights that improve product reliability and customer experiences.

You will collate data from multiple sources, build analytical solutions, and support evidence-based decisions across engineering, QA, and release management.

You'll strengthen observability and help scale data capabilities in a collaborative, cross-functional environment.

This opportunity offers hands-on data work with a clear impact on product performance and service quality.

ResponsabilidadesCollect, structure and combine data from multiple sources to build reliable datasets

Analyze telemetry, logs and metrics to spot trends, anomalies and performance issues

Develop data models, KPIs and analytical solutions to illuminate product and service performance

Collaborate with Engineering, QA and Operations to investigate field issues and support root-cause analysis

Support software/firmware releases by analyzing performance across versions,



devices and deployments

Improve observability and automate recurring analyses to detect issues earlier

Engage with stakeholders across R&D; to understand needs and share insights

Requisitos principalesA couple of years of relevant experience in Data Engineering, Data Analytics, Software Engineering, Observability or a similar technical role

Strong SQL skills and practical experience with Python or a comparable programming language

Experience combining, analysing and validating data from multiple sources

Experience investigating technical issues and turning data into actionable insights

Experience developing KPIs, automated reports, dashboards or analytical solutions

Curiosity about how technical systems work and ability to communicate findings clearly

Collaborative mindset and professional English proficiency

Curiosity

Collaborative mindset

Clear communication

SQL

Python

Snowflake

📌 Data Engineer - Operational Analytics - Verisure (Madrid)
🏢 Verisure
📍 Madrid